Read a small random sample from a big CSV file into a Python data frame

csv sampler

# There is the python way

import pandas
import random

n = 1000000 #number of records in file
s = 10000 #desired sample size
filename = "data.csv"
skip = sorted(random.sample(xrange(n),n-s))
df = pandas.read_csv(filename, skiprows=skip)

# There is the bash way
shuf -n 100000 data.csv > data_sample.csv